Assessing health-related quality of life among cancer survivors during systemic and radiation therapy in Bangladesh: a cancer-specific exploration

Shahjalal, Md.; Sultana, Marufa; Gow, Jeff; Hoque, Mohammad Enamul; Mistry, Sabuj Kanti; Hossain, Ahmed; Mahumud, Rashidul Alam

doi:10.1186/s12885-023-11670-z

Cited by 6 publications

(3 citation statements)

References 35 publications

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“…The odds of poor QoL among prostate cancer patients treated in public hospitals increased by 35% as compared to private institutions. This finding is supported by the previous literature [ 39 , 40 ]. This might be due to the fact that private institutions often had better resources and facilities and provided better access to patients compared to the public.…”

Section: Discussionsupporting

confidence: 93%

Bayesian Spatio-Temporal Multilevel Modelling of Patient-Reported Quality of Life following Prostate Cancer Surgery

Tessema,

Tesema,

Wah

et al. 2024

Healthcare

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Background: Globally, prostate cancer is the second leading cause of cancer deaths among males. It is the most commonly diagnosed cancer in Australia. The quality of life of prostate cancer patients is poorer when compared to the general population due to the disease itself and its related complications. However, there is limited research on the geographic pattern of quality of life and its risk factors in Victoria. Therefore, an examination of the spatio-temporal pattern and risk factors of poor quality of life, along with the impact of spatial weight matrices on estimates and model performance, was conducted. Method: A retrospective study was undertaken based on the Prostate Cancer Outcome Registry—Victoria data. Patient data (n = 5238) were extracted from the Prostate Cancer Outcome Registry, a population-based clinical quality outcome assessment from 2015 to 2021. A Bayesian spatio-temporal multilevel model was fitted to identify risk factors for poor quality of life. This study also evaluated the impact of distance- and adjacency-based spatial weight matrices. Model convergence was assessed using Gelman–Rubin statistical plots, and model comparison was based on the Watanabe–Akaike Information Criterion. Results: A total of 1906 (36.38%) prostate cancer patients who had undergone surgery experienced poor quality of life in our study. Belonging to the age group between 76 and 85 years (adjusted odds ratio (AOR) = 2.90, 95% credible interval (CrI): 1.39, 2.08), having a prostate-specific antigen level between 10.1 and 20.0 (AOR = 1.33, 95% CrI: 1.12, 1.58), and being treated in a public hospital (AOR = 1.35, 95% CrI: 1.17, 1.53) were significantly associated with higher odds of poor quality of life. Conversely, residing in highly accessible areas (AOR = 0.60, 95% CrI: 0.38, 0.94) was significantly associated with lower odds of poor prostate-specific antigen levels. Variations in estimates and model performance were observed depending on the choice of spatial weight matrices. Conclusion: Belonging to an older age group, having a high prostate-specific antigen level, receiving treatment in public hospitals, and remoteness were statistically significant factors linked to poor quality of life. Substantial spatio-temporal variations in poor quality of life were observed in Victoria across local government areas. The distance-based weight matrix performed better than the adjacency-based matrix. This research finding highlights the need to reduce geographical disparities in quality of life. The statistical methods developed in this study may also be useful to apply to other population-based clinical registry settings.

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Section: Discussionsupporting

confidence: 93%

Bayesian Spatio-Temporal Multilevel Modelling of Patient-Reported Quality of Life following Prostate Cancer Surgery

Tessema,

Tesema,

Wah

et al. 2024

Healthcare

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“…Studies either implicate cancer therapy, 20 or implicate cancer stage in affecting physical functioning domains. 21 However, other studies found no differences in overall QoL by cancer stage. 22 , 23 …”

Section: Introductionmentioning

confidence: 93%

Understanding the Quality of Life Among Patients With Cancer in Saudi Arabia: Insights From a Cross-Sectional Study

Aljawadi,

Alkhudair,

Alrasheed

et al. 2024

Cancer Control

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Introduction Cancer patients’ quality of life (QoL) significantly influences treatment response and mortality rates. Understanding QoL domains among patients with cancer and what affects it can help create interventions that improve QoL and ease patients’ experience. This study measures the OoL among patients with cancer and influencing factors. Methods A prospective cross-sectional questionnaire-based study included cancer patients aged >18 currently receiving treatment. The questionnaire collected social and economic data, followed by the validated Arabic version of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC-QLQ-C30). Means and standard deviations for described numeric variables and frequencies and percentages described categorical variables. Analysis of variance, F-tests, and P-values were reported. Results Among 182 cancer patients, 60% were female. Younger patients exhibited higher QoL in physical and role functioning ( P = .016 and .03) and experienced more significant financial impact ( P = .0144). Females reported more adverse effects from cancer symptoms, including fatigue, nausea, vomiting, and pain (36.7% vs 25.5%, P = .005; 20.6% vs 11.5%, P = .0186; 34.7% vs 25.1%, P = .0281). Single patients had superior QoL in physical functioning compared to others ( P = .0127). Patients traveling long distances were more likely to face adverse financial consequences ( P = .007). Asthmatic patients exhibited lower QoL in physical, role, and cognitive functioning (72.3 vs 37.8, P = .0147; 76.4 vs 22.2, P = .0024; 84.7 vs 44.4, P = .0038) and reported increased dyspnea and appetite loss (16 vs 55.6 and 26.1 vs 66.7, both P < .05). Conclusion Factors influencing QoL in Saudi cancer patients include age, marital status, gender, hospital distance, and chronic conditions. Thus emphasizing the necessity for personalized care strategies to enhance outcomes and alleviate the overall burden of cancer care.

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“…41 It is important to point out that people with metastatic cancer have lower quality of life, which is linked to poorer treatment outcomes. 42 Therefore, the authors emphasise that causality must be established through further causal inferential studies.…”

Section: Bmj Public Healthmentioning

confidence: 99%

Prevalence and factors associated with malnutrition on patients with cancer in Bangladesh: a cross-sectional study

Mohsin,

Rahman,

Shahjalal

2024

bmjph

Self Cite

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IntroductionMalnutrition is related to the development of chronic diseases, including cancer and is a major cause of mortality in patients with cancer. The study aimed to understand the prevalence and factors associated with malnutrition among patients with cancer.MethodsThis cross-sectional study investigated the prevalence of malnutrition among patients with cancer and its relationship with sociodemographic status and treatments. Patients’ nutritional diagnosis was performed using the Patient-Generated Subjective Global Assessment (PG-SGA) tool. The performance status (PS) was obtained from the scale developed by the Eastern Cooperative Oncology Group (ECOG). Data were collected from two hospitals from January to March 2023. A χ2test and multinominal regression analysis were performed by SPSS V.25.ResultsOut of 275 patients, 164 (60%) were male, with the mean age of 49.54 years (SD 15.61). Of these, 184 patients (67%) were malnourished of whom 149 patients (54%) had moderate and 35 patients (13%) had severe malnutrition. Patients’ age, sex, PS, cancer site, treatment modalities, duration and hospitalisation were significantly associated with nutritional status (p<0.05). Patients between the ages of 40 and 60 were 2.96 times more likely to be malnourished compared with those younger than 40 (adjusted odd ratio (AOR) 2.96; 95% CI 1.40 to 6.24). Female patients had 7.74 times higher risk of malnutrition compared with male patients (AOR 7.74; 95% CI 2.03 to 19.80). Malnutrition was 2.6 times higher for surgical patients compared with nonsurgical ones (AOR 2.60; 95% CI 1.29 to 5.26). The risk of malnutrition was 4.06 times greater in patients treated longer than 12 months compared with those treated less than 6 months (AOR 4.06; 95% CI 1.82 to 9.08).ConclusionThere is a high prevalence of malnutrition among patients with cancer, and it is essential to include regular nutritional assessment in the treatment process for better outcomes.

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Assessing health-related quality of life among cancer survivors during systemic and radiation therapy in Bangladesh: a cancer-specific exploration

Cited by 6 publications

References 35 publications

Bayesian Spatio-Temporal Multilevel Modelling of Patient-Reported Quality of Life following Prostate Cancer Surgery

Bayesian Spatio-Temporal Multilevel Modelling of Patient-Reported Quality of Life following Prostate Cancer Surgery

Understanding the Quality of Life Among Patients With Cancer in Saudi Arabia: Insights From a Cross-Sectional Study

Prevalence and factors associated with malnutrition on patients with cancer in Bangladesh: a cross-sectional study

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